Verify images with Zapier and Peltarion

Build an automated and effective system that verifies customer photo uploads.

Put yourself in the shoes of a car insurer. They receive a lot of insurance claims from their customers, and the insurer must ensure that every customer’s car is, in fact, damaged before paying any money. This is a tedious task but luckily a task that can be automated.

In this tutorial, we’ll show you how to set up a verification system that uses the customer’s information and image and then notifies systems administrators when something is wrong.

Person - Target audience: Intermediate users
Clock - Estimated time: 15 minutes

You will learn
Peltarion logo - Build a Zapier workflow
Peltarion logo - Connect Peltarion to a Zapier workflow

Zapier tutorial workflow
Figure 1. Zapier tutorial workflow

Create a spreadsheet with insurance claims

Make your own copy of this spreadsheet with insurance claims that we’ve made. The spreadsheet includes information on each claim. Most importantly, it contains a link to a photo for each claim. You will use that photo in a Peltarion classification model.

Tips on tools for survey collection

You can also create your own spreadsheet that includes a photo for each claim. This photo must have a link so the Peltarion classification model can use it.

We used Typeform to set up a form that, from a chat window, collected dummy information about insurance claims from customers. You could also try AirTable, which also worked very well and, as an added benefit, also removes the need for a spreadsheet in the step below.


Create Zap: Peltarion ←→ Google Sheet

Now let’s set up a zap in Zapier.
Goal: Receive an email notification if a photo can’t be verified.

Complete Zapier workflow
Figure 2. Complete zap - a Zapier workflow.
  1. Log in to Zapier.

  2. In the My apps window search for and add a Peltarion connection.
    If the Peltarion connection is not in the list, search for "Peltarion".

    • We’ve pre-trained a demo model already that can classify different car damages.
      Use the URL and Token below to access our deployed model. (You can also build and deploy a car classifier yourself in our car damage classifier tutorial.)

      • URL: https://a.azure-eu-west.platform.peltarion.com/deployment/51214a73-336b-40d3-bdcb-b65980e683bf/forward

      • Token: 1a3ddc3d-f17a-4a3d-aeb8-c73c4d08925f

  3. In the Zaps window create a Zap.

  4. Add Trigger.
    To connect the zap to your insurance claims spreadsheet.

    1. App: Google Sheets

    2. Trigger event: New Spreadsheet Row

    3. Connect the zap to your Google account.

    4. Select the spreadsheet with insurance claims you just copied from us.

  5. Add Action.
    To make predictions of photos added to the spreadsheet.

    1. App: Peltarion

    2. Action event: Prediction

    3. Choose account: The car damage account you set up in the My apps window.

    4. Set up the action: Select the data from the photos column.

  6. Click the + icon to add another step (do not turn the zap on).

  7. Add Action: Filter
    To filter out the photos that are either predicted to belong to the class Unknown or where the Peltarion model isn’t confident in its prediction.

    1. In Filter Setup & Testing:

      • Click Only continue if… and select Predictions in Peltarion and then Class.

      • Choose condition (Text) Contains.

      • Enter value Unkown in the last field.
        This means that you will filter out all examples with the predicted label Unkown.

    2. click + or

    3. In Filter Setup & Testing:

      • Click Or continue if… and select Predictions in Peltarion and then Class Conviction.

      • Choose condition (Number) Less than…

      • Enter value 0.7 in the last field.
        This means that if the two top predictions are very close, then the conviction will be low. That is, the model doesn’t give a clear prediction.
        Math: Conviction = ln (1st candidate / 2nd candidate)

  8. Click the + icon to add another step.

  9. Add Action: Send outbound email
    To send you an email if a photo is filtered out.

    1. Search for Email by Zapier and add it (will then show as Action / Send Outbound Email).

    2. Action event: Send outbound email. Enter this info:

      • To: <your mail>

      • Subject: Unverified insurance claim

      • Body: Click in the Body field

        • Select Insert dataNew Spreadsheet Row in Google sheetsPhoto
          This will add a link to the unverified image to the mail.

        • Then you can add some text, for example, is unverified. Please take a look.

  10. Done! Turn the zap on.

Turn Zap on

Verify zap

Time to verify that your zap works.

Add row to spreadsheet

Copy the row below and paste it into your spreadsheet:

Julia

https://storage.googleapis.com/bucket-8732/Zapier_car_damage_images/CardamageTest.jpg

unknown

Recieve a mail from the zap

Check you inbox for a mail from zapier. It might take some time since there are a couple of different tools that need to communicate with each other.

Example:

Verification email example
Figure 3. Example email with a link to the photo so the receiver can take a look.

Recap

And that’s it! Your customized verification system is finished. In this tutorial, you learned to:

  1. Build a workflow using apps you already use.

  2. Deploy a Peltarion model in Zapier.

  3. Integrate it into your processes.


Next step

If you’re keen to try out another one of our tutorials that utilize another low-code tool, check out the Sales forecasting tutorial and its integration with Google Sheets and with Microsoft Excel.

SalesForecast tutorial
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